In today’s highly charged atmosphere of anxiety and anticipation about artificial intelligence (AI), and especially large language models (LLMs), one of the biggest concerns is how to ensure that it returns accurate results (meaning both true and pertinent to its audience). This is particularly important to scholarly, scientific and other technical organizations, whose constituents are often in very specific domains, such as medicine, engineering, history, biology, chemistry, etc. One extremely useful tool to incorporate in an AI-based process in such cases is a comprehensive and well-structured knowledge domain which is based on a thesaurus or taxonomy.

The next Access Innovations webinar, coming up at 12 Noon ET on Tuesday, March 26, is “MAKING AI BEHAVE: Using Knowledge Domains to Produce Useful, Trustworthy Results.” It’s based on the extensive experience and history Access Innovations has in the development and implementation of domain-specific thesauri, taxonomies, ontologies and knowledge graphs, and their use of them with AI. They have over 70 knowledge domains covered, which they employ in sophisticated search, auto-tagging and AI-based solutions for their clients. These are all available for immediate deployment, so you don’t have to start from scratch to develop the ability to accurately tag your content to ensure proper and effective use by AI tools and systems.

Please register here for a webinar that I think will help you establish an effective strategy for implementing AI responsibly and efficiently. After registering, you will receive a confirmation email containing information about joining the webinar.

Bill Kasdorf
Principal at Kasdorf & Associates, LLC, and a founding partner of Publishing Technology Partners.